Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric
representations using a variety of methods. Effect encodings using
simple generalized linear models <arXiv:1611.09477> or nonlinear
models <arXiv:1604.06737> can be used. There are also functions for
dimension reduction and other approaches.
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>),
RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between embed versions 0.1.4 dated 2021-01-16 and 0.1.5 dated 2021-11-24
embed-0.1.4/embed/man/tunable.step_embed.Rd |only embed-0.1.5/embed/DESCRIPTION | 44 ++-- embed-0.1.5/embed/LICENSE |only embed-0.1.5/embed/MD5 | 84 +++++---- embed-0.1.5/embed/NAMESPACE | 13 + embed-0.1.5/embed/NEWS.md | 17 + embed-0.1.5/embed/R/0_imports.R | 23 ++ embed-0.1.5/embed/R/bayes.R | 28 +-- embed-0.1.5/embed/R/discretize_cart.R | 57 +++--- embed-0.1.5/embed/R/discretize_xgb.R | 118 ++++++------ embed-0.1.5/embed/R/glm.R | 28 +-- embed-0.1.5/embed/R/hash.R | 88 ++++----- embed-0.1.5/embed/R/lme.R | 46 ++--- embed-0.1.5/embed/R/pca_sparse.R |only embed-0.1.5/embed/R/pca_sparse_bayes.R |only embed-0.1.5/embed/R/solubility.R |only embed-0.1.5/embed/R/tf.R | 77 ++++---- embed-0.1.5/embed/R/tunable.R | 45 ++++ embed-0.1.5/embed/R/umap.R | 120 +++++++------ embed-0.1.5/embed/R/woe.R | 66 ++++--- embed-0.1.5/embed/data |only embed-0.1.5/embed/man/solubility.Rd |only embed-0.1.5/embed/man/step_discretize_cart.Rd | 6 embed-0.1.5/embed/man/step_discretize_xgb.Rd | 9 embed-0.1.5/embed/man/step_embed.Rd | 14 - embed-0.1.5/embed/man/step_feature_hash.Rd | 67 +++---- embed-0.1.5/embed/man/step_lencode_bayes.Rd | 11 - embed-0.1.5/embed/man/step_lencode_glm.Rd | 11 - embed-0.1.5/embed/man/step_lencode_mixed.Rd | 11 - embed-0.1.5/embed/man/step_pca_sparse.Rd |only embed-0.1.5/embed/man/step_pca_sparse_bayes.Rd |only embed-0.1.5/embed/man/step_umap.Rd | 70 ++++--- embed-0.1.5/embed/man/tunable_embed.Rd |only embed-0.1.5/embed/tests/testthat.R | 4 embed-0.1.5/embed/tests/testthat/_snaps |only embed-0.1.5/embed/tests/testthat/test-s3-methods.R | 4 embed-0.1.5/embed/tests/testthat/test_discretize_cart.R | 30 ++- embed-0.1.5/embed/tests/testthat/test_discretize_xgb.R | 136 +++++++------- embed-0.1.5/embed/tests/testthat/test_hash.R | 54 +++++ embed-0.1.5/embed/tests/testthat/test_mixed.R | 30 +-- embed-0.1.5/embed/tests/testthat/test_no_pooling.R | 29 +-- embed-0.1.5/embed/tests/testthat/test_pooling.R | 57 +++--- embed-0.1.5/embed/tests/testthat/test_sparse_pca.R |only embed-0.1.5/embed/tests/testthat/test_tf.R | 147 +++++++++------- embed-0.1.5/embed/tests/testthat/test_umap.R | 84 ++++++++- embed-0.1.5/embed/tests/testthat/test_woe.R | 42 +++- 46 files changed, 1018 insertions(+), 652 deletions(-)
Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This
includes meta-analysis, (robust) prior derivation from historical
data, operating characteristics and analysis (1 and 2 sample
cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19>
for details on applying this package while Neuenschwander et al. (2010)
<doi:10.1177/1740774509356002> and Schmidli et al. (2014)
<doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph],
Sebastian Weber [aut, cre],
Beat Neuenschwander [ctb],
Heinz Schmidli [ctb],
Baldur Magnusson [ctb],
Yue Li [ctb],
Satrajit Roychoudhury [ctb],
Trustees of Columbia University [cph] (R/stanmodels.R, configure,
configure.win)
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>
Diff between RBesT versions 1.6-2 dated 2021-09-03 and 1.6-3 dated 2021-11-24
DESCRIPTION | 13 +++++++------ MD5 | 34 ++++++++++++++++++---------------- R/RBesT-package.R | 2 +- R/gMAP.R | 4 ++++ R/sysdata.rda |binary inst/CITATION |only inst/NEWS | 4 ++++ inst/doc/PoS_codata.html | 6 +++--- inst/doc/PoS_interim.html | 6 +++--- inst/doc/RBesT.pdf |binary inst/doc/customizing_plots.html | 6 +++--- inst/doc/introduction.html | 6 +++--- inst/doc/introduction_normal.html | 6 +++--- inst/doc/robustMAP.html | 6 +++--- inst/doc/variances_MAP.html | 6 +++--- inst/sbc/sbc_report.html | 4 ++-- man/RBesT-package.Rd | 2 +- man/gMAP.Rd | 4 ++++ tools/custom_covr_report.R |only 19 files changed, 62 insertions(+), 47 deletions(-)
Title: Forecast Verification for Extreme Events
Description: An index measuring the amount of information brought by forecasts for extreme events, subject to calibration, is computed. This index is originally designed for weather or climate forecasts, but it may be used in other forecasting contexts. This is the implementation of the index in Taillardat et al. (2019) <arXiv:1905.04022>.
Author: Maxime Taillardat [aut, cre]
Maintainer: Maxime Taillardat <maxime.taillardat@meteo.fr>
Diff between extremeIndex versions 0.0.2 dated 2020-02-20 and 0.0.3 dated 2021-11-24
DESCRIPTION | 10 +-- MD5 | 22 +++---- NAMESPACE | 73 +++++++++++++------------- R/choosethres.R | 146 ++++++++++++++++++++++++----------------------------- R/index.plot.R | 92 +++++++++++++++++---------------- R/indexclim.R | 138 +++++++++++++++++++++++++++----------------------- R/indexfore.R | 89 ++++++++++++++++++-------------- man/choosethres.Rd | 5 - man/crps.Rd | 6 +- man/index.plot.Rd | 8 +- man/indexclim.Rd | 12 +++- man/indexfore.Rd | 2 12 files changed, 317 insertions(+), 286 deletions(-)
Title: Query 'nycflights13'-Like Air Travel Data for Given Years and
Airports
Description: Supplies a set of functions to query air travel data for user-
specified years and airports. Datasets include on-time flights, airlines,
airports, planes, and weather.
Author: Simon P. Couch [aut, cre],
Hadley Wickham [ctb],
Jay Lee [ctb],
Dennis Irorere [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>
Diff between anyflights versions 0.3.1 dated 2020-10-22 and 0.3.2 dated 2021-11-24
DESCRIPTION | 9 +++----- MD5 | 32 ++++++++++++++--------------- NEWS.md | 7 ++++++ R/as_flights_package.R | 2 - R/get_airlines.R | 9 ++++---- R/get_flights.R | 9 +++++++- R/utils.R | 30 ++++++++++++++++++++++----- README.md | 8 +++---- man/get_airlines.Rd | 5 ++-- man/get_flights.Rd | 8 ++++++- tests/testthat/test-1-get-flights.R | 2 + tests/testthat/test-2-get-airlines.R | 2 + tests/testthat/test-3-get-airports.R | 1 tests/testthat/test-4-get-planes.R | 2 + tests/testthat/test-5-get-weather.R | 2 + tests/testthat/test-6-utils.R | 20 ++++++++++++++++++ tests/testthat/test-7-as-flights-package.R | 5 ++-- 17 files changed, 112 insertions(+), 41 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-11-03 0.1.1
Title: Mapping Averaged Pairwise Information
Description: Mapping Averaged Pairwise Information (MAPI) is an
exploratory method providing graphical representations summarizing the
spatial variation of pairwise metrics (eg. distance, similarity
coefficient, ...) computed between georeferenced samples.
Author: Sylvain Piry [aut, cre] (<https://orcid.org/0000-0002-7717-7555>),
Thomas Campolunghi [aut],
Florent Cestier [aut],
Karine Berthier [aut] (<https://orcid.org/0000-0002-2260-7968>)
Maintainer: Sylvain Piry <sylvain.piry@inrae.fr>
Diff between mapi versions 1.0.3 dated 2021-10-30 and 1.0.4 dated 2021-11-24
DESCRIPTION | 6 +++--- MD5 | 26 +++++++++++++------------- NEWS.md | 5 ++++- R/MAPI_GridHexagonal.R | 5 ++--- R/MAPI_RunAuto.R | 1 - R/MAPI_RunOnGrid.R | 2 +- R/mapi.R | 35 ++++++++++++++++++++++++++++------- build/partial.rdb |binary inst/WORDLIST | 2 ++ man/MAPI_GridHexagonal.Rd | 5 +---- man/MAPI_RunAuto.Rd | 1 - man/MAPI_RunOnGrid.Rd | 1 - man/mapi.Rd | 35 ++++++++++++++++++++++++++++------- src/RcppExports.cpp | 5 +++++ 14 files changed, 87 insertions(+), 42 deletions(-)
Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>
Diff between sparta versions 0.8.1.1 dated 2021-09-30 and 0.8.2 dated 2021-11-24
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NAMESPACE | 1 + NEWS.md | 3 ++- R/api_sparta.R | 5 ++++- man/marg.Rd | 5 ++++- 6 files changed, 20 insertions(+), 12 deletions(-)
Title: Hacks for 'ggplot2'
Description: A 'ggplot2' extension that does a variety of little
helpful things. The package extends 'ggplot2' facets through
customisation, by setting individual scales per panel, resizing panels
and providing nested facets. Also allows multiple colour and fill
scales per plot. Also hosts a smaller collection of stats, geoms and axis
guides.
Author: Teun van den Brand [aut, cre] (<https://orcid.org/0000-0002-9335-7468>)
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>
Diff between ggh4x versions 0.2.0 dated 2021-08-21 and 0.2.1 dated 2021-11-24
DESCRIPTION | 13 MD5 | 118 ++--- NEWS.md | 7 R/facet_grid2.R | 2 R/facet_nested.R | 2 R/facet_wrap2.R | 4 R/geom_pointpath.R | 97 ++-- R/strip_nested.R | 4 R/strip_vanilla.R | 87 +-- README.md | 3 build/vignette.rds |binary inst/doc/Facets.html | 3 inst/doc/Miscellaneous.html | 2 inst/doc/Statistics.html | 2 man/center_limits.Rd | 60 +- man/distribute_args.Rd | 162 +++---- man/facet_manual.Rd | 294 ++++++------- man/facetted_pos_scales.Rd | 172 +++---- man/figures/README-facets-1.png |binary man/figures/README-multicolour-1.png |binary man/geom_pointpath.Rd | 192 ++++---- man/geom_rectmargin.Rd | 402 +++++++++--------- man/geom_text_aimed.Rd | 296 ++++++------- man/ggh4x-package.Rd | 55 +- man/ggsubset.Rd | 78 +-- man/guide_axis_minor.Rd | 212 ++++----- man/guide_axis_truncated.Rd | 266 ++++++------ man/guide_dendro.Rd | 220 +++++----- man/guide_stringlegend.Rd | 224 +++++----- man/help_secondary.Rd | 208 ++++----- man/position_disjoint_ranges.Rd | 112 ++--- man/position_lineartrans.Rd | 226 +++++----- man/scale_dendrogram.Rd | 236 +++++----- man/stat_difference.Rd | 274 ++++++------ man/stat_funxy.Rd | 242 +++++------ man/weave_factors.Rd | 106 ++-- tests/testthat/Rplots.pdf |binary tests/testthat/_snaps |only tests/testthat/test-facet_grid2.R | 20 tests/testthat/test-facet_nested.R | 20 tests/testthat/test-facet_nested_wrap.R | 27 - tests/testthat/test-facet_wrap2.R | 20 tests/testthat/test-facetted_pos_scales.R | 35 - tests/testthat/test-force_panelsizes.R | 368 ++++++++-------- tests/testthat/test-geom_pointpath.R | 84 +-- tests/testthat/test-geom_polygonraster.R | 112 ++--- tests/testthat/test-geom_rectmargin.R | 262 +++++------ tests/testthat/test-geom_text_aimed.R | 2 tests/testthat/test-ggsubset.R | 164 +++---- tests/testthat/test-guide_axis_logticks.R | 2 tests/testthat/test-guide_axis_manual.R | 24 - tests/testthat/test-guide_axis_minor.R | 2 tests/testthat/test-guide_axis_nested.R | 208 ++++----- tests/testthat/test-guide_stringlegend.R | 6 tests/testthat/test-position_disjoint_ranges.R | 235 +++++----- tests/testthat/test-scale_dendrogram.R | 30 - tests/testthat/test-scale_listed.R | 446 ++++++++++---------- tests/testthat/test-stat_theodensity.R | 547 ++++++++++++------------- tests/testthat/test-strips.R | 10 tests/testthat/test-utils.R | 7 60 files changed, 3528 insertions(+), 3484 deletions(-)
Title: Bayesian Additive Models for Location, Scale, and Shape (and
Beyond)
Description: Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework.
The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model.
The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019)
<doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021)
<doi:10.18637/jss.v100.i04>.
Author: Nikolaus Umlauf [aut, cre] (<https://orcid.org/0000-0003-2160-9803>),
Nadja Klein [aut] (<https://orcid.org/0000-0002-5072-5347>),
Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>),
Meike Koehler [ctb],
Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>),
Stanislaus Stadlmann [ctb]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Diff between bamlss versions 1.1-5 dated 2021-09-21 and 1.1-6 dated 2021-11-24
DESCRIPTION | 12 ++--- MD5 | 26 +++++------ R/BAMLSS.R | 110 +++++++++++++++++++++++++++++-------------------- build/partial.rdb |binary inst/CITATION | 34 +++++++++------ inst/doc/bamlss.Rmd | 3 - inst/doc/bamlss.html | 13 +++-- man/bamlss-package.Rd | 9 ++-- man/bamlss.Rd | 7 +-- man/homstart_data.Rd | 2 src/bamlss_functions.c | 2 src/bamlss_init.c | 2 vignettes/bamlss.Rmd | 3 - vignettes/bamlss.bib | 13 +++++ 14 files changed, 144 insertions(+), 92 deletions(-)
Title: Spatial Analysis of Field Trials with Splines
Description: Analysis of field trial experiments by modelling spatial trends using two-dimensional Penalised spline (P-spline) models.
Author: Maria Xose Rodriguez-Alvarez [aut, cre],
Martin Boer [aut],
Paul Eilers [aut],
Fred van Eeuwijk [ctb]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>
Diff between SpATS versions 1.0-15 dated 2021-07-06 and 1.0-16 dated 2021-11-24
DESCRIPTION | 12 ++++++------ MD5 | 6 +++--- NEWS | 3 +++ man/SpATS-package.Rd | 6 +++--- 4 files changed, 15 insertions(+), 12 deletions(-)
Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API',
see <https://developers.google.com/google-ads/api/docs/start>.
Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>),
Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Diff between rgoogleads versions 0.4.0 dated 2021-11-16 and 0.4.1 dated 2021-11-24
DESCRIPTION | 6 MD5 | 16 - NEWS.md | 7 R/gads_get_report.R | 11 R/gads_get_report_helper.R | 11 R/gads_utils.R | 3 README.md | 373 ++++++++++++++++----------------- inst/doc/migrate_from_radrowds_us.html | 12 - inst/doc/migrate_from_radwords_ru.html | 12 - 9 files changed, 229 insertions(+), 222 deletions(-)
Title: Partially Ordered Sets in R
Description: Provides a set of basic tools for generating, analyzing, summarizing and visualizing finite partially ordered sets. In particular, it implements flexible and very efficient algorithms for the extraction of linear extensions and for the computation of mutual ranking probabilities and other user-defined functionals, over them. The package is meant as a computationally efficient "engine", for the implementation of data analysis procedures, on systems of multidimensional ordinal indicators and partially ordered data, in the spirit of Fattore, M. (2016) "Partially ordered sets and the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-015-1059-6>, and Fattore M. and Arcagni, A. (2018) "A reduced posetic approach to the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-016-1501-4>.
Author: Alberto Arcagni [aut, cre],
Alessandro Avellone [aut],
Marco Fattore [aut]
Maintainer: Alberto Arcagni <alberto.arcagni@uniroma1.it>
Diff between POSetR versions 1.0.3 dated 2021-03-20 and 1.0.4 dated 2021-11-24
DESCRIPTION | 10 +++--- MD5 | 37 ++++++++++++++--------- NAMESPACE | 56 ++++++++++++++++++++---------------- R/LEapply.R | 3 + R/POSetR-package.R | 1 R/poset.R | 10 +++--- R/poset_from_dataframe.R |only R/poset_from_igraph.R |only R/poset_from_incidence.R |only R/print.Rcpp_POSet.R | 4 +- R/print.summary_poset.R | 4 +- R/summary.Rcpp_POSet.R | 1 R/utilities.R |only build/partial.rdb |binary man/POSetR-package.Rd | 24 +++++++-------- man/coverMatrix.Rd |only man/incidenceMatrix.Rd |only man/poset.Rd | 9 +++-- man/poset_from_dataframe.Rd |only man/poset_from_igraph.Rd |only man/poset_from_incidence.Rd |only man/print.summary_poset.Rd | 68 ++++++++++++++++++++++---------------------- src/RMod.cpp | 10 ++---- src/RcppExports.cpp | 5 +++ 24 files changed, 133 insertions(+), 109 deletions(-)
Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS)
implemented by the MICE algorithm as described in Van Buuren and
Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has
its own imputation model. Built-in imputation models are provided for
continuous data (predictive mean matching, normal), binary data (logistic
regression), unordered categorical data (polytomous logistic regression)
and ordered categorical data (proportional odds). MICE can also impute
continuous two-level data (normal model, pan, second-level variables).
Passive imputation can be used to maintain consistency between variables.
Various diagnostic plots are available to inspect the quality of the
imputations.
Author: Stef van Buuren [aut, cre],
Karin Groothuis-Oudshoorn [aut],
Gerko Vink [ctb],
Rianne Schouten [ctb],
Alexander Robitzsch [ctb],
Patrick Rockenschaub [ctb],
Lisa Doove [ctb],
Shahab Jolani [ctb],
Margarita Moreno-Betancur [ctb],
Ian White [ctb],
Philipp Gaffert [ctb],
Florian Meinfelder [ctb],
Bernie Gray [ctb],
Vincent Arel-Bundock [ctb],
Mingyang Cai [ctb],
Thom Volker [ctb],
Edoardo Costantini [ctb],
Caspar van Lissa [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Diff between mice versions 3.13.0 dated 2021-01-27 and 3.14.0 dated 2021-11-24
mice-3.13.0/mice/R/nmar_demo_data.R |only mice-3.14.0/mice/DESCRIPTION | 36 - mice-3.14.0/mice/MD5 | 260 +++++----- mice-3.14.0/mice/NAMESPACE | 20 mice-3.14.0/mice/NEWS.md | 57 ++ mice-3.14.0/mice/R/D2.R | 1 mice-3.14.0/mice/R/D3.R | 1 mice-3.14.0/mice/R/RcppExports.R | 4 mice-3.14.0/mice/R/ampute.R | 5 mice-3.14.0/mice/R/as.R | 3 mice-3.14.0/mice/R/barnard.rubin.R | 4 mice-3.14.0/mice/R/bwplot.R | 2 mice-3.14.0/mice/R/cbind.R | 3 mice-3.14.0/mice/R/densityplot.R | 2 mice-3.14.0/mice/R/filter.R | 4 mice-3.14.0/mice/R/formula.R | 5 mice-3.14.0/mice/R/ibind.R | 2 mice-3.14.0/mice/R/imports.R | 5 mice-3.14.0/mice/R/initialize.imp.R | 14 mice-3.14.0/mice/R/install.on.demand.R | 6 mice-3.14.0/mice/R/lm.R | 2 mice-3.14.0/mice/R/mcar.R |only mice-3.14.0/mice/R/md.pairs.R | 2 mice-3.14.0/mice/R/md.pattern.R | 6 mice-3.14.0/mice/R/mice-package.R | 18 mice-3.14.0/mice/R/mice.R | 89 ++- mice-3.14.0/mice/R/mice.impute.2l.bin.R | 1 mice-3.14.0/mice/R/mice.impute.2l.lmer.R | 7 mice-3.14.0/mice/R/mice.impute.2l.norm.R | 2 mice-3.14.0/mice/R/mice.impute.2l.pan.R | 2 mice-3.14.0/mice/R/mice.impute.cart.R | 1 mice-3.14.0/mice/R/mice.impute.lasso.logreg.R |only mice-3.14.0/mice/R/mice.impute.lasso.norm.R |only mice-3.14.0/mice/R/mice.impute.lasso.select.logreg.R |only mice-3.14.0/mice/R/mice.impute.lasso.select.norm.R |only mice-3.14.0/mice/R/mice.impute.lda.R | 2 mice-3.14.0/mice/R/mice.impute.logreg.R | 4 mice-3.14.0/mice/R/mice.impute.mean.R | 2 mice-3.14.0/mice/R/mice.impute.midastouch.R | 2 mice-3.14.0/mice/R/mice.impute.mnar.norm.R | 15 mice-3.14.0/mice/R/mice.impute.norm.boot.R | 2 mice-3.14.0/mice/R/mice.impute.norm.nob.R | 2 mice-3.14.0/mice/R/mice.impute.passive.R | 2 mice-3.14.0/mice/R/mice.impute.pmm.R | 167 +++--- mice-3.14.0/mice/R/mice.impute.polr.R | 4 mice-3.14.0/mice/R/mice.impute.polyreg.R | 3 mice-3.14.0/mice/R/mice.impute.quadratic.R | 66 +- mice-3.14.0/mice/R/mice.impute.rf.R | 71 ++ mice-3.14.0/mice/R/mice.impute.sample.R | 2 mice-3.14.0/mice/R/mice.mids.R | 21 mice-3.14.0/mice/R/mids.R | 4 mice-3.14.0/mice/R/mids2spss.R | 30 - mice-3.14.0/mice/R/mipo.R | 2 mice-3.14.0/mice/R/mira.R | 2 mice-3.14.0/mice/R/mnar_demo_data.R |only mice-3.14.0/mice/R/nelsonaalen.R | 1 mice-3.14.0/mice/R/pool.R | 152 ++++- mice-3.14.0/mice/R/pool.compare.R | 2 mice-3.14.0/mice/R/pool.r.squared.R | 2 mice-3.14.0/mice/R/pool.scalar.R | 60 +- mice-3.14.0/mice/R/post.R | 2 mice-3.14.0/mice/R/predictorMatrix.R | 13 mice-3.14.0/mice/R/quickpred.R | 2 mice-3.14.0/mice/R/rbind.R | 7 mice-3.14.0/mice/R/sampler.R | 4 mice-3.14.0/mice/R/stripplot.R | 2 mice-3.14.0/mice/R/tidiers.R | 2 mice-3.14.0/mice/R/with.R | 5 mice-3.14.0/mice/R/xyplot.R | 2 mice-3.14.0/mice/build/partial.rdb |binary mice-3.14.0/mice/inst/CITATION | 5 mice-3.14.0/mice/man/D2.Rd | 1 mice-3.14.0/mice/man/D3.Rd | 1 mice-3.14.0/mice/man/ampute.Rd | 3 mice-3.14.0/mice/man/bwplot.mids.Rd | 2 mice-3.14.0/mice/man/densityplot.mids.Rd | 2 mice-3.14.0/mice/man/filter.mids.Rd | 2 mice-3.14.0/mice/man/lm.mids.Rd | 2 mice-3.14.0/mice/man/make.post.Rd | 2 mice-3.14.0/mice/man/mcar.Rd |only mice-3.14.0/mice/man/md.pairs.Rd | 2 mice-3.14.0/mice/man/md.pattern.Rd | 2 mice-3.14.0/mice/man/mice.Rd | 74 +- mice-3.14.0/mice/man/mice.impute.2l.lmer.Rd | 6 mice-3.14.0/mice/man/mice.impute.2l.norm.Rd | 2 mice-3.14.0/mice/man/mice.impute.2l.pan.Rd | 2 mice-3.14.0/mice/man/mice.impute.cart.Rd | 4 mice-3.14.0/mice/man/mice.impute.lasso.logreg.Rd |only mice-3.14.0/mice/man/mice.impute.lasso.norm.Rd |only mice-3.14.0/mice/man/mice.impute.lasso.select.logreg.Rd |only mice-3.14.0/mice/man/mice.impute.lasso.select.norm.Rd |only mice-3.14.0/mice/man/mice.impute.lda.Rd | 6 mice-3.14.0/mice/man/mice.impute.logreg.Rd | 6 mice-3.14.0/mice/man/mice.impute.logreg.boot.Rd | 6 mice-3.14.0/mice/man/mice.impute.mean.Rd | 6 mice-3.14.0/mice/man/mice.impute.midastouch.Rd | 6 mice-3.14.0/mice/man/mice.impute.mnar.Rd | 15 mice-3.14.0/mice/man/mice.impute.norm.Rd | 4 mice-3.14.0/mice/man/mice.impute.norm.boot.Rd | 6 mice-3.14.0/mice/man/mice.impute.norm.nob.Rd | 6 mice-3.14.0/mice/man/mice.impute.norm.predict.Rd | 4 mice-3.14.0/mice/man/mice.impute.passive.Rd | 2 mice-3.14.0/mice/man/mice.impute.pmm.Rd | 17 mice-3.14.0/mice/man/mice.impute.polr.Rd | 6 mice-3.14.0/mice/man/mice.impute.polyreg.Rd | 6 mice-3.14.0/mice/man/mice.impute.quadratic.Rd | 14 mice-3.14.0/mice/man/mice.impute.rf.Rd | 22 mice-3.14.0/mice/man/mice.impute.ri.Rd | 4 mice-3.14.0/mice/man/mice.impute.sample.Rd | 2 mice-3.14.0/mice/man/mice.mids.Rd | 2 mice-3.14.0/mice/man/mids-class.Rd | 4 mice-3.14.0/mice/man/mids2spss.Rd | 10 mice-3.14.0/mice/man/mipo.Rd | 2 mice-3.14.0/mice/man/mira-class.Rd | 2 mice-3.14.0/mice/man/mnar_demo_data.Rd | 2 mice-3.14.0/mice/man/pool.Rd | 79 +-- mice-3.14.0/mice/man/pool.compare.Rd | 2 mice-3.14.0/mice/man/pool.r.squared.Rd | 2 mice-3.14.0/mice/man/pool.scalar.Rd | 37 + mice-3.14.0/mice/man/quickpred.Rd | 2 mice-3.14.0/mice/man/rbind.mids.Rd | 4 mice-3.14.0/mice/man/stripplot.mids.Rd | 2 mice-3.14.0/mice/man/with.mids.Rd | 2 mice-3.14.0/mice/man/xyplot.mids.Rd | 2 mice-3.14.0/mice/src/RcppExports.cpp | 18 mice-3.14.0/mice/src/legendre.cpp |only mice-3.14.0/mice/tests/testthat/test-blocks.R | 14 mice-3.14.0/mice/tests/testthat/test-filter.R | 2 mice-3.14.0/mice/tests/testthat/test-mice.R | 36 + mice-3.14.0/mice/tests/testthat/test-mice.impute.durr.logreg.R |only mice-3.14.0/mice/tests/testthat/test-mice.impute.durr.norm.R |only mice-3.14.0/mice/tests/testthat/test-mice.impute.iurr.logreg.R |only mice-3.14.0/mice/tests/testthat/test-mice.impute.iurr.norm.R |only mice-3.14.0/mice/tests/testthat/test-mice.impute.logreg.R |only mice-3.14.0/mice/tests/testthat/test-mice.impute.norm.R | 1 mice-3.14.0/mice/tests/testthat/test-newdata.R | 44 + mice-3.14.0/mice/tests/testthat/test-pool.R | 10 mice-3.14.0/mice/tests/testthat/test-rbind.R | 33 + mice-3.14.0/mice/tests/testthat/test-tidiers.R | 15 mice-3.14.0/mice/tests/testthat/test-with.R | 8 140 files changed, 1173 insertions(+), 635 deletions(-)
Title: Exploration of Dental Surface Topography
Description: Tools for exploring the topography of 3d triangle meshes.
The functions were developed with dental surfaces in mind, but could be
applied to any triangle mesh of class 'mesh3d'. More specifically, 'doolkit'
allows to isolate the border of a mesh, or a subpart of the mesh using the
polygon networks method; crop a mesh; compute basic descriptors (elevation,
orientation, footprint area); compute slope, angularity and relief index
(Ungar and Williamson (2000) <https://palaeo-electronica.org/2000_1/gorilla/issue1_00.htm>;
Boyer (2008) <doi:10.1016/j.jhevol.2008.08.002>), inclination and occlusal
relief index or gamma (Guy et al. (2013) <doi:10.1371/journal.pone.0066142>),
OPC (Evans et al. (2007) <doi:10.1038/nature05433>), OPCR (Wilson et al.
(2012) <doi:10.1038/nature10880>), DNE (Bunn et al. (2011) <doi:10.1002/ajpa.21489>;
Pampush et al. (2016) <doi:10.1007/s10914-016-9326-0>), form factor (Horton
(1932) <doi:10.1029/TR013i001p00350>), basin elongation (Schum (1956)
<doi:10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2>), lemniscate ratio
(Chorley et al; (1957) <doi:10.2475/ajs.255.2.138>), enamel-dentine distance
(Guy et al. (2015) <doi:10.1371/journal.pone.0138802>; Thiery et al. (2017)
<doi:10.3389/fphys.2017.00524>), absolute crown strength (Schwartz et al.
(2020) <doi:10.1098/rsbl.2019.0671>), relief rate (Thiery et al. (2019)
<doi:10.1002/ajpa.23916>) and area-relative curvature; draw cumulative
profiles of a topographic variable; and map a variable over a 3d triangle
mesh.
Author: Ghislain Thiery [aut, cre],
Franck Guy [aut],
Vincent Lazzari [aut]
Maintainer: Ghislain Thiery <ghislain.thiery@ntymail.com>
Diff between doolkit versions 1.0.0 dated 2021-11-03 and 1.0.1 dated 2021-11-24
DESCRIPTION | 10 +++++----- MD5 | 20 ++++++++++---------- NAMESPACE | 2 ++ R/doolkit.R | 2 ++ R/topography.R | 5 +---- R/utility.R | 10 +++++----- build/partial.rdb |binary man/dkprofile.Rd | 10 +++++----- man/dne.Rd | 3 --- man/opcr.Rd | 2 -- man/rfi.Rd | 2 -- 11 files changed, 30 insertions(+), 36 deletions(-)
Title: Speedy Word Embedding Association Test and Extras Using R
Description: Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, and Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>.
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>)
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Diff between sweater versions 0.1.1 dated 2021-11-22 and 0.1.2 dated 2021-11-24
DESCRIPTION | 6 +++--- MD5 | 4 ++-- src/weat.cpp | 6 +++--- 3 files changed, 8 insertions(+), 8 deletions(-)
Title: Generalised Survival Trial Assessment Tool Environment
Description: Provides tools to assist planning and monitoring of time-to-event trials under complicated censoring assumptions and/or non-proportional hazards. There are three main components: The first is analytic calculation of predicted time-to-event trial properties, providing estimates of expected hazard ratio, event numbers and power under different analysis methods. The second is simulation, allowing stochastic estimation of these same properties. Thirdly, it provides parametric event prediction using blinded trial data, including creation of prediction intervals. Methods are based upon numerical integration and a flexible object-orientated structure for defining event, censoring and recruitment distributions (Curves).
Author: James Bell [aut, cre],
Jasmin Ruehl [ctb]
Maintainer: James Bell <james.bell.ext@boehringer-ingelheim.com>
Diff between gestate versions 1.4.0 dated 2020-02-20 and 1.5.0 dated 2021-11-24
DESCRIPTION | 11 MD5 | 105 ++++----- NAMESPACE | 3 R/curve_constructors.R | 8 R/distribution_functions.R | 1 R/nph_traj.R | 14 - R/power_functions.R | 15 - R/s4_architecture.R | 28 ++ R/simulation_functions.R | 113 +++++----- build/vignette.rds |binary inst/doc/event_prediction.html | 29 ++ inst/doc/trial_planning.R | 6 inst/doc/trial_planning.Rmd | 10 inst/doc/trial_planning.html | 427 ++++++++++++++++++++------------------ man/RCurve-class.Rd | 4 man/createRFfunction.Rd | 36 +-- man/events2power.Rd | 4 man/frontierpower.Rd | 3 man/getCDFfunction.Rd | 36 +-- man/getInvfunction.Rd | 36 +-- man/getLength-RCurve-method.Rd | 32 +- man/getLength.Rd | 32 +- man/getMaxF-RCurve-method.Rd |only man/getMaxF.Rd |only man/getN-RCurve-method.Rd | 32 +- man/getN.Rd | 32 +- man/getNactive-RCurve-method.Rd | 32 +- man/getNactive.Rd | 32 +- man/getNames-Curve-method.Rd | 32 +- man/getNames.Rd | 32 +- man/getNcontrol-RCurve-method.Rd | 32 +- man/getNcontrol.Rd | 32 +- man/getPDFfunction.Rd | 36 +-- man/getParam.Rd | 36 +-- man/getParams-Curve-method.Rd | 32 +- man/getParams.Rd | 32 +- man/getParamsV-Curve-method.Rd | 32 +- man/getParamsV.Rd | 32 +- man/getRFfunction.Rd | 36 +-- man/getRatio-RCurve-method.Rd | 32 +- man/getRatio.Rd | 32 +- man/getType-Curve-method.Rd | 32 +- man/getType.Rd | 32 +- man/nph_traj.Rd | 3 man/plotCDF.Rd | 40 +-- man/power2events.Rd | 4 man/run_gestate.Rd | 30 +- man/setPatients.Rd | 36 +-- man/show-Curve-method.Rd | 32 +- man/show-RCurve-method.Rd | 32 +- man/simulate_trials.Rd | 1 man/simulate_trials_strata.Rd | 1 man/survfit_fast.Rd |only tests/testthat/testarchitecture.R | 12 - vignettes/trial_planning.Rmd | 10 55 files changed, 946 insertions(+), 828 deletions(-)
Title: Group-Based Multivariate Trajectory Modeling
Description: Estimation and analysis of group-based multivariate trajectory models (Nagin, 2018 <doi:10.1177/0962280216673085>). The package implements an Expectation-Maximization (EM) algorithm allowing unbalanced panel and missing values, and provides several functionalities for prediction and graphical representation.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <alessandro.magrini@unifi.it>
Diff between gbmt versions 0.1.1 dated 2021-11-23 and 0.1.2 dated 2021-11-24
Changelog |only DESCRIPTION | 8 ++++---- MD5 | 9 +++++---- R/gbmt.R | 4 +++- man/gbmt-package.Rd | 4 ++-- man/gbmt.Rd | 19 ++++++++----------- 6 files changed, 22 insertions(+), 22 deletions(-)
Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>),
Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>),
Karl Forner [ctb],
Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>),
Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Diff between terra versions 1.4-20 dated 2021-11-16 and 1.4-22 dated 2021-11-24
DESCRIPTION | 8 - MD5 | 88 ++++++------- NAMESPACE | 2 NEWS.md | 31 ++++ R/Agenerics.R | 3 R/SpatRasterDataset.R | 24 +++ R/app.R | 33 +++- R/coerce.R | 157 +++++++++++++++++++++++ R/focal.R | 299 ++++++++++++++++++++++++++++++++++++++------- R/lapp.R | 71 +++++++++- R/options.R | 4 R/rast.R | 57 +++++++- R/sample.R | 2 R/show.R | 17 +- R/tapp.R | 43 ++++-- R/time.R | 7 + R/values.R | 9 - R/vect.R | 11 + inst/ex/countries.rds |binary inst/ex/meuse.rds |binary inst/tinytest/test_focal.R | 10 - man/app.Rd | 2 man/focal.Rd | 14 +- man/focalCpp.Rd |only man/focalReg.Rd |only man/lapp.Rd | 3 man/rast.Rd | 13 + man/resample.Rd | 2 man/scale.Rd | 2 man/sds.Rd | 2 man/setValues.Rd | 4 man/split.Rd | 2 man/tapp.Rd | 5 man/wrap.Rd | 2 src/RcppFunctions.cpp | 3 src/distRaster.cpp | 2 src/focal.cpp | 109 ++++++++++------ src/gdal_algs.cpp | 74 ++++------- src/gdalio.cpp | 11 + src/geos_methods.cpp | 32 +++- src/spatBase.cpp | 2 src/spatDataframe.cpp | 6 src/spatRaster.cpp | 18 ++ src/spatRaster.h | 1 src/write.cpp | 5 src/write_gdal.cpp | 2 46 files changed, 922 insertions(+), 270 deletions(-)
More information about responsePatterns at CRAN
Permanent link
Title: Estimation and Use of the Generalised (Tukey) Lambda
Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities,
densities and density quantiles for four different types of the distribution,
the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden
and Loots 2009) and FM5 - see documentation for details.
It provides the density function, distribution function, and Quantile-Quantile
plots.
It implements a variety of estimation methods for the distribution,
including diagnostic plots.
Estimation methods include the starship (all 4 types),
method of L-Moments for the GPD and FKML types, and a
number of methods for only the FKML type.
These include maximum likelihood, maximum product of spacings,
Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King [aut, cre] (<https://orcid.org/0000-0001-7495-6599>),
Benjamin Dean [aut],
Sigbert Klinke [aut],
Paul van Staden [aut] (<https://orcid.org/0000-0002-5710-5984>)
Maintainer: Robert King <Robert.King.newcastle@gmail.com>
Diff between gld versions 2.6.2 dated 2020-01-08 and 2.6.3 dated 2021-11-24
Changelog | 388 ++++++++++++------------ DESCRIPTION | 33 +- MD5 | 86 ++--- NAMESPACE | 28 - NEWS | 88 ++--- R/BetaLambdaLambda.R | 50 +-- R/CheckParameters.R | 404 ++++++++++++------------- R/e1071wrap.R | 52 +-- R/fit.fkml.R | 554 +++++++++++++++++------------------ R/fit.gpd.R | 362 +++++++++++----------- R/fxgld.R | 200 ++++++------ R/gld.gpd.se.R | 60 +-- R/gldGPDRegionID.R |only R/gldgpdNus.R | 194 ++++++------ R/lmoment.R | 130 ++++---- R/methods.R | 207 +++++++------ R/moment.R | 482 +++++++++++++++--------------- R/plotgl.R | 332 ++++++++++---------- R/qfgld.R | 514 ++++++++++++++++---------------- R/qqgl.R | 104 +++--- R/rgld.R | 28 - R/starship.R | 366 +++++++++++------------ TODO | 44 +- build |only man/BetaLambdaLambda.Rd | 92 ++--- man/GeneralisedLambdaDistribution.Rd | 342 ++++++++++----------- man/StarshipClassDocs.Rd | 114 +++---- man/fit.fkml.Rd | 320 ++++++++++---------- man/fit.fkml.moments.val.Rd | 194 ++++++------ man/fit.gpd.Rd | 170 +++++----- man/gl.check.lambda.Rd | 272 ++++++++--------- man/gld-Deprecated.Rd | 14 man/gld.lmoments.Rd | 155 ++++----- man/gld.moments.Rd | 151 ++++----- man/plot.starship.Rd | 109 +++--- man/plotgl.Rd | 266 ++++++++-------- man/qdgl-deprecated.Rd | 38 +- man/qqgl.Rd | 182 +++++------ man/starship.Rd | 295 +++++++++--------- man/starship.adaptivegrid.Rd | 192 ++++++------ man/starship.obj.Rd | 162 +++++----- src/gld.fm5.fx.c | 5 src/gld.fmkl.fx.c | 4 src/gld.rs.fx.c | 2 src/gld.vsk.fx.c | 4 45 files changed, 3932 insertions(+), 3857 deletions(-)
Title: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions
Description: Provide data generation and estimation tools for the multivariate scale mixtures of normal
presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale
mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011)
<doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal
presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y>
and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020)
<doi:10.1080/03610918.2020.1804582>.
Author: Clecio Ferreira [aut],
Diego Gallardo [aut, cre],
Camila Zeller [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>
Diff between skewMLRM versions 1.5 dated 2021-11-23 and 1.6 dated 2021-11-24
DESCRIPTION | 8 INDEX | 2 MD5 | 12 - NAMESPACE | 3 NEWS.md | 4 R/mbackcrit.R | 528 ++++++++++++++++++++++++++++++++------------------- R/vcov.skewMLRM.R |only man/vcov.skewMLRM.Rd |only 8 files changed, 356 insertions(+), 201 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-03-22 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-04-05 0.1.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2021-10-25 1.0.0
2021-02-25 0.3-7.1
Title: Makes 'R' Easier for 'SAS®' Programmers
Description: A meta-package that aims to make 'R' easier for 'SAS®' programmers.
This set of packages brings many familiar concepts to 'R', including
data libraries, data dictionaries, formats
and format catalogs, a data step, and a traceable log. The 'flagship'
package is a reporting package that can output in text, rich text, 'PDF' and
'HTML' file formats.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>
Diff between sassy versions 1.0.5 dated 2021-08-07 and 1.0.6 dated 2021-11-24
DESCRIPTION | 14 +++++++------- MD5 | 12 ++++++++---- NEWS.md | 4 ++++ README.md | 8 +++----- build/vignette.rds |binary inst/doc/sassy-faq.R |only inst/doc/sassy-faq.Rmd |only inst/doc/sassy-faq.html |only vignettes/sassy-faq.Rmd |only 9 files changed, 22 insertions(+), 16 deletions(-)
Title: Classification with Mixture Modelling
Description: Interface of 'MIXMOD' software for supervised, unsupervised and
semi-supervised classification with mixture modelling.
Author: Florent Langrognet [aut],
Remi Lebret [aut],
Christian Poli [aut],
Serge Iovleff [aut],
Benjamin Auder [aut],
Parmeet Bhatia [ctb],
Anwuli Echenim [ctb],
Serge Iovleff [aut],
Christophe Biernacki [ctb],
Gilles Celeux [ctb],
Gerard Govaert [ctb],
Quentin Grimonprez [cre]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>
Diff between Rmixmod versions 2.1.5 dated 2020-06-14 and 2.1.6 dated 2021-11-24
DESCRIPTION | 18 +++---- MD5 | 8 +-- configure.ac | 5 +- src/mixmod/Kernel/Parameter/GaussianEDDAParameter.cpp | 2 tests/heterogeneousDAtest.R | 41 +----------------- 5 files changed, 18 insertions(+), 56 deletions(-)
Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package.
Textual statistics for characterizing and comparing textual data. Includes
functions for measuring term and document frequency, the co-occurrence of
words, similarity and distance between features and documents, feature entropy,
keyword occurrence, readability, and lexical diversity. These functions
extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph]
(<https://orcid.org/0000-0002-0797-564X>),
Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>),
Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>),
Jiong Wei Lua [aut],
Jouni Kuha [aut] (<https://orcid.org/0000-0002-1156-8465>),
European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Diff between quanteda.textstats versions 0.94.1 dated 2021-05-11 and 0.95 dated 2021-11-24
DESCRIPTION | 8 - MD5 | 36 ++-- NAMESPACE | 1 NEWS.md | 8 - R/textstat_lexdiv.R | 2 R/textstat_readability.R | 31 +--- R/textstat_simil.R | 62 ++------ README.md | 4 build/partial.rdb |binary inst/WORDLIST | 2 man/quanteda.textstats-package.Rd | 7 man/textstat_proxy.Rd | 2 man/textstat_readability.Rd | 21 +- man/textstat_simil.Rd | 4 src/RcppExports.cpp | 5 tests/testthat/test-textstat_dist.R | 105 +++++++------- tests/testthat/test-textstat_lexdiv.R | 62 ++++++-- tests/testthat/test-textstat_proxy.R | 11 + tests/testthat/test-textstat_simil.R | 252 +++++++++++++++------------------- 19 files changed, 308 insertions(+), 315 deletions(-)
More information about quanteda.textstats at CRAN
Permanent link
Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with
nanosecond granularity is provided, with easy transition to and from
the standard 'POSIXct' type. Three additional classes offer interval,
period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between nanotime versions 0.3.3 dated 2021-08-09 and 0.3.4 dated 2021-11-24
ChangeLog | 58 ++++++++++++++++++ DESCRIPTION | 10 +-- MD5 | 40 ++++++------ NAMESPACE | 2 R/nanoduration.R | 1 R/nanoival.R | 4 + R/nanotime.R | 4 + README.md | 3 build/vignette.rds |binary inst/NEWS.Rd | 8 ++ inst/doc/nanotime-introduction.pdf |binary inst/include/nanotime/period.hpp | 116 +++++++++++++++++++++++++++++++------ inst/tinytest/test_nanoduration.R | 19 ++++-- inst/tinytest/test_nanoival.R | 15 +++- inst/tinytest/test_nanoperiod.R | 8 +- inst/tinytest/test_nanotime.R | 9 ++ man/nanoival.Rd | 3 man/nanotime.Rd | 3 src/RcppExports.cpp | 5 + src/period.cpp | 92 ----------------------------- src/rounding.cpp | 11 --- 21 files changed, 249 insertions(+), 162 deletions(-)
Title: Density, Probability, Quantile ('DPQ') Computations
Description: Computations for approximations and alternatives for the 'DPQ'
(Density (pdf), Probability (cdf) and Quantile) functions for probability
distributions in R.
Primary focus is on (central and non-central) beta, gamma and related
distributions such as the chi-squared, F, and t.
--
This is for the use of researchers in these numerical approximation
implementations, notably for my own use in order to improve standard
R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>),
Morten Welinder [ctb] (pgamma C code, see PR#7307, Jan. 2005; further
pdhyper()),
Wolfgang Viechtbauer [ctb] (dtWV(), 2002),
Ross Ihaka [ctb] (src/qchisq_appr.c),
Marius Hofert [ctb] (lsum(), lssum()),
R-core [ctb] (src/{dpq.h, algdiv.c, pnchisq.c, bd0.c}),
R Foundation [cph] (src/qchisq-appr.c)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between DPQ versions 0.4-4 dated 2021-05-27 and 0.5-0 dated 2021-11-24
DESCRIPTION | 10 - MD5 | 81 ++++++------- NAMESPACE | 6 R/beta-fns.R | 130 +++++++++++++++------ R/dbinom-nbinom.R | 16 +- R/dgamma.R | 259 +++++++++++++++++++++++++----------------- R/dnchisq-fn.R | 1 R/dpq-h.R | 7 + R/qbinomR.R | 2 R/utils.R | 7 + TODO | 2 build/DPQ.pdf |binary build/partial.rdb |binary build/vignette.rds |binary inst/NEWS.Rd | 47 +++++++ inst/doc/Noncentral-Chisq.pdf |binary inst/doc/comp-beta.pdf |binary inst/doc/log1pmx-etc.R | 38 ++++++ inst/doc/log1pmx-etc.pdf |binary man/dbinom_raw.Rd | 2 man/dgamma-utils.Rd | 71 +++++++---- man/dnbinomR.Rd | 6 man/dtWV.Rd | 3 man/fr_ld_exp.Rd |only man/lgamma1p.Rd | 2 man/log1mexp.Rd | 16 +- man/log1pmx.Rd | 118 ++++--------------- man/logcf.Rd | 39 ++++-- man/numer-utils.Rd | 26 +++- man/p1l1.Rd | 20 +-- man/phyperR2.Rd | 2 man/qbinomR.Rd | 2 man/qnbinomR.Rd | 2 man/qnormR.Rd | 2 man/qpoisR.Rd | 2 src/DPQ-misc.c | 44 ++++--- src/DPQpkg.h | 11 + src/bd0.c | 132 ++++++++++++++++----- src/init.c | 2 tests/dnbinom-tst.R | 231 ++++++++++++++++++++++++++++++++++++- tests/stirlerr-tst.R | 130 ++++++++++++++++++--- vignettes/log1pmx-etc.Rnw | 124 ++++++++++++++++---- 42 files changed, 1156 insertions(+), 437 deletions(-)